Commodities Quantitative Analyst
Full-time
Balyasny Asset Management
Location: New YorkDepartment: RiskExperience Level: Early CareerContact: Brian TrombinoJob ID: REQ8405The Commodities Quantitative Research and PM Engagement team works with portfolio managers with specific focus on portfolio risk and optimization, deliver analytics, and provide actionable insights and best practices that drive business growth and enhance profitability.The Commodities Quantitative Analyst works alongside investment teams to develop quantitative models and analytical tools for portfolio risk analysis and portfolio construction. This role is key to enhance profitability and scalability across the Commodities business.Key ResponsibilitiesDevelop and enhance quantitative framework and models for portfolio risk and portfolio optimization.Conduct quantitative analysis and share insights with portfolio managers and business management.Partner with investment teams to assess fundamentals, evaluate trade risk, and support investment decisionsContribute to best practices in risk analysis, portfolio construction, and quantitative research across the Commodities platformQualificationsFresh graduates or candidates with 1-2 years of experienceUndergraduate or graduate degree in a quantitative field, such as math, statistics, engineering, physics, financial engineering, or a related fieldExperience as a quantitative analyst, strategist or risk quant in a commodity trading firm, bank, or hedge fundStrong foundation in statistics, time series analysis, and quantitative modelingStrong analytical and problem-solving skillsProficiency in PythonAbility to communicate technical concepts clearly and effectively
Vacancy posted 3 days ago
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